CyberStrike

Quick Start

npm i -g @cyberstrike-io/cyberstrike@latest && cyberstrike

That's it. CyberStrike launches a TUI in your terminal, asks for your LLM provider and API key on first run, and you're ready to go. Tell it what to test — it handles reconnaissance, vulnerability discovery, exploitation, and reporting autonomously.

Already have a Claude Code or OpenAI subscription? CyberStrike's intelligence layer sits on top of your existing AI subscription. No separate API costs — your current plan powers an entire pentest toolkit.

Explore the full documentation at docs.cyberstrike.io or visit cyberstrike.io for demos and guides.

Intelligence Layer

CyberStrike isn't just a wrapper around an LLM. It's an intelligence layer that transforms any AI model into an offensive security specialist.

How it works: When you connect your LLM provider, CyberStrike injects domain-specific context — OWASP testing methodology, vulnerability patterns, attack chain reasoning, and tool orchestration logic — into every interaction. The model doesn't need to know security; CyberStrike teaches it.

What the intelligence layer provides:

• Schema normalization — Structured output from any provider, regardless of response format differences
• Context guard — Prevents prompt leakage and keeps the agent focused on the current test phase
• Provider auto-detection — Automatically identifies your LLM endpoint and configures the optimal transport
• Tool orchestration — Chains security tools intelligently based on findings, not fixed scripts

150+ AI providers and 5,300+ models supported out of the box:

CyberStrike integrates with the entire AI ecosystem through 23 bundled SDK providers and 150+ providers via the models.dev catalog. Here are the core integrations:

Air-gapped environments? Run CyberStrike entirely offline with Ollama or LM Studio. No data leaves your machine — ever.

What Makes It Different

Specialized Security Agents, Not Generic Chat

CyberStrike ships with 13+ agents purpose-built for security domains. Each agent carries domain-specific methodology, tool knowledge, and testing patterns. The web-application agent follows OWASP WSTG. The cloud-security agent knows CIS benchmarks. The mobile agent uses Frida and follows MASTG/MASVS. They don't guess — they follow proven offensive security frameworks.

Intelligence Layer, Not Just an LLM Wrapper

Most AI security tools are thin wrappers that send your prompt to an API. CyberStrike's intelligence layer normalizes outputs across 150+ providers and 5,300+ models, guards context between test phases, auto-detects your provider configuration, and orchestrates multi-step attack chains. The result: consistent, methodology-driven pentesting regardless of which model you use.

150+ Providers, Zero Lock-in

Anthropic, OpenAI, Google, Amazon Bedrock, Azure, Groq, Mistral, xAI, DeepSeek, Cerebras, Cohere, OpenRouter, Together AI, GitHub Copilot — or run fully offline with Ollama and LM Studio. 150+ providers, 5,300+ models. You choose the model. You own the results. As AI models get better and cheaper, CyberStrike gets better with them. Switch providers in seconds without reconfiguring anything.

Remote Tool Execution with Bolt

Your security tools don't have to run on your laptop. Deploy Bolt on one or many remote servers, pair with Ed25519 keys, and control everything from your local terminal. One CyberStrike instance can orchestrate dozens of Bolt servers — each with its own toolkit, network position, and attack surface access.

Agents

Switch between agents with Tab. Each one is a domain specialist.